NDLI: Artificial bee colony algorithm for real estate portfolio optimization based on risk preference coefficient

Content Provider	IEEE Xplore Digital Library
Author	Liu Hong-mei Wang Zhuo-fu Li Hui-min
Copyright Year	2010
Description	Author affiliation: Business School, Hohai University, P. R. China, 210098 (Liu Hong-mei; Wang Zhuo-fu; Li Hui-min)
Abstract	Optimization of real estate portfolio is to select two or more different types of real estate for investment, and the previous models based on expected return-variance cannot meet the needs of the investors. Furthermore, the investors change their risk preference with the risk level. In this study, firstly, the semi-variance model of real estate investment portfolio based on risk preference coefficient was constructed. The return per unit of risk is the key factor to determine an investment decision. Secondly, artificial bee colony algorithm (ABC) was employed to solve the constructed model. Finally, a real-world case was analyzed to verify the performance of ABC. The result indicated that ABC could generate better solution than GA and it could be regarded as a useful approach for solving real estate portfolio problem.
Starting Page	1682
Ending Page	1687
File Size	110599
Page Count	6
File Format	PDF
ISBN	9781424481163
ISSN	21551855
e-ISBN	9781424481194
DOI	10.1109/ICMSE.2010.5720009
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-24
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	artificial bee colony algorithm combinatorial optimization Computational modeling Biological system modeling Investments Adaptation model real estate portfolio risk preference coefficient Iterative methods Portfolios Optimization semi-variance
Content Type	Text
Resource Type	Article

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